ZhangYuanhan-AI / NOAHLinks
[TPAMI] Searching prompt modules for parameter-efficient transfer learning.
☆238Updated 2 years ago
Alternatives and similar repositories for NOAH
Users that are interested in NOAH are comparing it to the libraries listed below
Sorting:
- [NeurIPS'22] This is an official implementation for "Scaling & Shifting Your Features: A New Baseline for Efficient Model Tuning".☆191Updated 2 years ago
- [NeurIPS2023] Official implementation and model release of the paper "What Makes Good Examples for Visual In-Context Learning?"☆180Updated last year
- [ICCV 2023] Prompt-aligned Gradient for Prompt Tuning☆167Updated 2 years ago
- ☆200Updated 2 years ago
- This repo is the official implementation of UPL (Unsupervised Prompt Learning for Vision-Language Models).☆118Updated 3 years ago
- Exploring Visual Prompts for Adapting Large-Scale Models☆287Updated 3 years ago
- PyTorch implementation of the paper "MILAN: Masked Image Pretraining on Language Assisted Representation" https://arxiv.org/pdf/2208.0604…☆83Updated 3 years ago
- Toolkit for Elevater Benchmark☆76Updated 2 years ago
- [ICLR2023] PLOT: Prompt Learning with Optimal Transport for Vision-Language Models☆173Updated 2 years ago
- [NeurIPS 2023] Text data, code and pre-trained models for paper "Improving CLIP Training with Language Rewrites"☆287Updated 2 years ago
- code for "Multitask Vision-Language Prompt Tuning" https://arxiv.org/abs/2211.11720☆56Updated last year
- MixGen: A New Multi-Modal Data Augmentation☆126Updated 3 years ago
- [ICCV 2023 & AAAI 2023] Binary Adapters & FacT, [Tech report] Convpass☆198Updated 2 years ago
- ☆59Updated 3 years ago
- 📍 Official pytorch implementation of paper "ProtoCLIP: Prototypical Contrastive Language Image Pretraining" (IEEE TNNLS)☆54Updated 2 years ago
- [CVPR2023] The code for 《Position-guided Text Prompt for Vision-Language Pre-training》☆151Updated 2 years ago
- VL-LTR: Learning Class-wise Visual-Linguistic Representation for Long-Tailed Visual Recognition☆68Updated 3 years ago
- Official implementation for the paper "Prompt Pre-Training with Over Twenty-Thousand Classes for Open-Vocabulary Visual Recognition"☆259Updated last year
- Code for the paper: "SuS-X: Training-Free Name-Only Transfer of Vision-Language Models" [ICCV'23]☆106Updated 2 years ago
- ☆105Updated 2 years ago
- Official implementation of AAAI 2023 paper "Parameter-efficient Model Adaptation for Vision Transformers"☆106Updated 2 years ago
- Code implementation of our NeurIPS 2023 paper: Vocabulary-free Image Classification☆107Updated last year
- Official repository for "CLIP model is an Efficient Continual Learner".☆108Updated 3 years ago
- Preventing Zero-Shot Transfer Degradation in Continual Learning of Vision-Language Models☆106Updated last year
- Compress conventional Vision-Language Pre-training data☆53Updated 2 years ago
- PyTorch code for "VL-Adapter: Parameter-Efficient Transfer Learning for Vision-and-Language Tasks" (CVPR2022)☆208Updated 3 years ago
- [CVPR2022] PyTorch re-implementation of Prompt Distribution Learning☆18Updated 2 years ago
- [ICCV 2023 oral] This is the official repository for our paper: ''Sensitivity-Aware Visual Parameter-Efficient Fine-Tuning''.☆75Updated 2 years ago
- [ECCV 2022] A generalized long-tailed challenge that incorporates both the conventional class-wise imbalance and the overlooked attribute…☆125Updated last week
- [CVPR 2023] This repository includes the official implementation our paper "Masked Autoencoders Enable Efficient Knowledge Distillers"☆108Updated 2 years ago